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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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GENERAL DESCRIPTION: Performs highly complex (senior-level) forensic science management work. Education - Graduation from an accredited four year college or university with a major in Biology, Chemistry, or Forensic Science related area and successful completion of twelve (12) semester or equivalent credit hours covering biochemistry, genetics, and molecular biology or (molecular genetics) AND a three-semester credit hour (or equivalent) college-level statistics course from an accredited university or a program approved by the Commission is also required.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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You have at least 3 years of commercial experience developing and productionizing real-time projects in Machine Learning and Data Science. This is an amazing opportunity for a Senior Data Scientist to join a leading global optimizer of battery storage and renewable energy assets.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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Job Description: The University of Texas at Austin, Bureau of Economic Geology, is seeking a highly motivated research scientist associate to collaborate on research in areas of hydrology, soil science, and remote sensing, with particular interest in the study of near-surface water resources using eddy covariance, field and lab measurements of springs and soil moisture, remote sensing, data management, and data analytics.
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Participate in soil recharge studies involving horizontal directional drilling, measurement of water content using various sensors and geophysical instruments, data processing and related research activities.
$78,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Assist with wetland delineations and onsite protected species habitat assessments and surveys, including using electronic data collection with sub-meter accurate GPS, and conduct post-survey data/management and analysis.
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Bachelor or Master's degree in a related field, such as Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Business Administration or equivalent experience.
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As SAP Master Data Management Technical Lead, you will be responsible for leading the planning, development and implementation of (MDM) and relevant software solutions that align to the Information Technology roadmap and business strategies.
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Graduation from a four-year accredited college or university with major course work in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field is required.
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Qualifications Bachelor’s or Master's degree in Computer Science, Statistics, Data Science, Artificial Intelligence, or a related field. Proficiency in Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks for all sorts of data science tasks.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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A degree(s) in business, communications, marketing, public relations, government affairs, political science, technical area of specialty or relevant field may be substituted per LCRA guidelines for certain years of experience.
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data science jobs Title: management trainee Company: Johnson in Austin, TX
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